文章摘要
黄新仁,黎小军,陶思俊,简绍勇.基于响应面的米曲霉产α-淀粉酶的发酵培养基优化[J].广东农业科学,2012,39(3):81-83
查看全文    HTML 基于响应面的米曲霉产α-淀粉酶的发酵培养基优化
Optimization the α-amylase production by Aspergillus oryzae in fermentation medium using response surface methodology
  
DOI:
中文关键词: α-淀粉酶  培养基  Plackett-Burman 设计  Box-Behnken 设计  响应面法
英文关键词: α-amylase  medium  Plackett-Burman design  Box-Behnken design  response surface methodology (RSM)
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作者单位
黄新仁,黎小军,陶思俊,简绍勇 1.新余学院数学与计算机科学学院江西新余3380002.新余学院医学与生命科学学院江西新余338000 
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中文摘要:
      为提高米曲霉产α-淀粉酶的发酵水平,运用响应面法优化米曲霉产α-淀粉酶发酵培养基。首先,利用Plackett-Burman设计法从影响发酵水平的7个因素中高效地筛选出3个关键因素:豆粕粉、pH 值和FeSO4.7H2O。在此基础上运用响应面法中的Box-Behnken 设计,拟合得到多元二次方程,并通过对方程的方差分析和方程求解,获得米曲霉产α-淀粉酶的最优发酵培养基为:豆粕粉18.51 g/L、pH值6.39、FeSO4.7H2O 0.0092 g/L、玉米粉60 g/L、K2HPO4.3H2O 2.5 g/L、NaNO3 4.5 g/L、MgSO4.7H2O 0.8 g/L。发酵水平预测值为839.5 U/mL,试验验证值为843 U/mL,较优化前提高20%左右,且试验值与模型计算值相差+0.4%。
英文摘要:
      In order to improve the production of α-amylase by fed-batch culture of Aspergillus oryzae, the response surface methodology was applied to optimize the fermentation medium. Firstly, Plackett-Burman design was undertaken to evaluate the effects of seven factors. With statistic regression analysis, the significant factors affecting α-amylase production were determined as follows: soybean power, pH and FeSO4.7H2O. Box-Behnken design was used to optimize the three critical internal factors mentioned above, and the optimum levels and the relationships among these factors was found out. By quadratic regression model equation with Design Expert statistic methods, the regression model was obtained as: 18.51 g/L soybean power, 0.0092 g/L FeSO4.7H2O, pH 6.39 and 60 g/L corn flour,2.5 g/L K2HPO4.3H2O, 4.5 g/L NaNO3, 0.8 g/L MgSO4.7H2O. Under such conditions, the predicted α-amylase production was attained 839.5 U/mL, which was in excellent agreement with the experimental result 843 U/mL (with only +0.4% differences), about 20% higher than the production under the initial conditions.
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